Work place: Monastir University, Physic Department of Faculty of sciences of Monastir, Laboratory of electronics and microelectronics
Research Interests: Medical Image Computing, Image Processing, Image Manipulation, Image Compression
Marwa.Fradi received her master degree in nano and micro electronics from monastir university in 2015.Actually she is a PhD student at Sciences University of Monastir and a member of Laboratory of electronics and micro-electronics. Moreover she is a reviewer in ASTES journal. She has two conferences papers. She is working on medical image processing and software image implementation on FPGA
DOI: https://doi.org/10.5815/ijigsp.2018.09.01, Pub. Date: 8 Sep. 2018
Computed ultrasonic bone tomography (USCT) is a non-invasive and non-ionizing technique, which ensures the protection of child being against x-rays. The main objective of this article is to use an image processing algorithm to improve the signal-to-noise ratio of ultrasonic computed tomography (USCT) of children bones for automatic detection of osteopathologies. For this fact, we construct an application of image processing with Microsoft Foundation Class Library (FMC) integrated in visual Studio using Haar wavelet algorithm to detect edges. Different methods of image processing for automatic detection are used. Hence, we make accessible the detection of distance between bones due to the application of wavelet transform. As a result, the quality of USCT image was improved and the detection of child osteopathologies became accessible.[...] Read more.
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